E. Al-Shawakfa

A Two-Stage Machine Learning Classification Approach to Identify Extremism in Arabic Opinions

E. Al-Shawakfa, Hind H. Husni, 2021, International Journal of Advanced Trends in Computer Science and Engineering.

Using Machine Learning to Predict Drug-Related Problems for Diabetes Patients

Qasem A. Al-Radaideh, S. Al‐Azzam, E. Al-Shawakfa, 2022, 2022 13th International Conference on Information and Communication Systems (ICICS).

Using Machine Learning Algorithms to Detect Content-based Arabic Web Spam

Izzat Alsmadi, Izzat Alsmadi, Mohammed N. Al-Kabi, 2012 .

A graph proximity feature augmentation approach for identifying accounts of terrorists on twitter

Emad Al-Shawakfa, Ahmed AlEroud, Nisreen Abu-Alsheeh, 2020, Comput. Secur..

Mining Student Data Using Decision Trees

Qasem A. Al-Radaideh, Emad M. Al-Shawakfa, Mustafa I. Al-Najjar, 2006 .

Evaluating Google queries based on language preferences

Izzat Alsmadi, Mohammed Al-Kabi, Emad M. Al-Shawakfa, 2011, J. Inf. Sci..

The impact of indexing approaches on Arabic text classification

Amer Al-Badarneh, Safwan Shatnawi, Emad Al-Shawakfa, 2017, J. Inf. Sci..

The Effect of Stemming on Arabic Text Classification: An Empirical Study

Izzat Alsmadi, Qasem A. Al-Radaideh, Mohammed Al-Kabi, 2011, Int. J. Inf. Retr. Res..

A Comparison Study between Data Mining Tools over some Classification Methods

Mohammed N. Al-Kabi, Qasem A. Al-Radaideh, Emad M. Al-Shawakfa, 2011 .

Classifying Arabic Text Using KNN Classifier

Safwan Shatnawi, Basel Bani-Ismail, Amer Al-Badarenah, 2016 .

BeesAnts: a new nature-inspired routing algorithm

Shadi Aljawarneh, Faisal Alkhateeb, Eslam Al Maghayreh, 2013, Int. J. Commun. Networks Distributed Syst..